A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of more than 1300 KN/m2. The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed with σ = 59.Let μ denote the true average compressive strength.
(a) What are the appropriate null and alternative hypotheses?
(b) Let X denote the sample average compressive strength
for n = 11 randomly selected specimens. Consider the test
procedure with test statistic X itself (not standardized).
What is the probability distribution of the test statistic when
H0 is true?
(c)If X = 1340, find the P-value. (Round your
answer to four decimal places.)
P-value =
(d)Should H0 be rejected using a significance
level of 0.01?
(e) What is the probability distribution of the test statistic when
μ = 1350?
(f)State the mean and standard deviation of the test statistic.
(Round your standard deviation to three decimal places.)
mean | KN/m2 | |
standard deviation | KN/m2 |
(g)For a test with α = 0.01, what is the probability that
the mixture will be judged unsatisfactory when in fact μ =
1350 (a type II error)? (Round your answer to four decimal
places.)
b) Compressive strength is normally distributed with standard deviation and mean
we take sample of size n= 11, Let X be the sample average of the compressive strength is normally distributed with standard deviation and mean when H0 is true
c) X=1340
p-value = P(X>1340) = 0.0123
d) . there for we don't reject the null hypothesis
e)Let X be the sample average of the compressive strength is normally distributed with standard deviation and mean
f) mean =1350
standard deviation =17.790
g)Type 2 error = P( accept H0 | H1 is true)
when
then the critical region is X> c, where is is determine such that P(X>c) =0.01
therefore c = 1341
then P(type 2 error ) =P(X<1341) =0.3065
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